Faced with increasing competition in the field of AI chips, Nvidia would turn to robotics.
The $3.3 trillion company, whose technology helped drive the rise of artificial intelligence (AI), will launch the next version of compact computers for humanoid robots – called Jetson Thor – in the first half of next year, according to the Financial Times (FT) reported Sunday (December 29).
According to the report, Nvidia is vying to become the leading platform in what it sees as upcoming robotics. boom.
“The ChatGPT moment for physical AI and robotics is fast approaching” Deepu TallaNvidia’s vice president of robotics, told the FT, adding that he believed the market was at a “tipping point.”
The FT report noted that this effort comes as Nvidia wait more competition for its chips from rivals like AMDas well as cloud computing titans like Google and Amazon. Today, the company is investing in the field of “physical AI” to help THE new robotics companies are developing.
For example, he joined Microsoft And OpenAI in a February financing round that valued a humanoid robotics company Figure AI has $2.6 billion.
Although Nvidia does not release figures for its sales of robotics products, the FT report indicates that this part of its business represents a smaller share of its revenue. Data center revenue, for example, accounted for about 88% of Nvidia’s $35.1 billion in sales. reported in the third quarter.
In other robotics/AI news, PYMNTS recently wrote on research at MIT that developed an AI system that could enable warehouse robots Skillfully handle odd-shaped packages and navigate crowded spaces without putting human workers at risk.
This is a major step forward at a time when retailers and logistics companies face increasing pressure to automate amid a surge. E-commerce request.
Although robots excel at repetitive tasks such as moving pallets, MIT’s PRoC3S technology could finally solve the long-standing challenge of robots safely performing more complex warehouse tasks that typically require human dexterity and spatial awareness.
“In theory, PRoC3S could reduce a robot’s error rate by checking its initial LLM-based assumptions against more specific and precise understandings of the warehouse environment.” Eric NievesCEO and co-founder of No more roboticstold PYMNTS.
“Think of it like this: a warehouse robot operating solely on the advice of LLM has been described how to accomplish a task. The PRoC3S concept goes even further by placing a digital robot in a simulated environment of this task. This is essentially the difference between classroom teaching and a Really good field trip.
As PYMNTS reported, robotics and AI technologies are transform traditional distribution yards via specialized autonomous vehicles equipped with robotic arms that can handle complex tasks such as connecting brake lines and positioning trailers, working alongside human workers.
